Meta-analysis methodology for combining treatment effects from Cox proportional hazard models with different covariate adjustments

DOI10.1002/BIMJ.200900168zbMath1197.62138OpenAlexW2000691617WikidataQ37775930 ScholiaQ37775930MaRDI QIDQ3162968

Xing Yuan, Stewart J. Anderson

Publication date: 22 October 2010

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.200900168

zbMATH Keywords

survivalheterogeneitymeta-analysisrandom effect modelCox proportional hazard modelaggregated patient data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (1)

The covariance adjustment approaches for combining incomparable Cox regressions caused by unbalanced covariates adjustment: a multivariate meta-analysis study

Cites Work

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• Estimation and comparison of Changes in the Presence of Informative Right Censoring: Conditional Linear Model
• Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates

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